Packt - Embedded Linux Development Using Yocto Project Cookbook.2nd.2018

What you will learn from this book * Understand how to effectively use Microsoft Dynamics Sure Step to implement the right Microsoft Dynamics business solution with quality, on-time and on-budget results. * Learn business solution selling techniques and guidance to accelerate and close a sale, as well as related guidance on specific industries * Discover how Microsoft Dynamics Sure Step support's your buy cycle, as you progress through your needs assessment, alternatives assessment and risk assessment stages * Examine the different options to choose from for your business solution delivery, including waterfall and agile approaches * Acquire insights into how you can proactively optimize the business solution during implementation, as well as continue to maintain the health of your solution in production * Determine the approach and tools available to upgrade your business solutions to the current product releases * Gain knowledge in key areas such as the project and change management disciplines provided in Microsoft Dynamics Sure Step * Familiarize yourself with the approach to adopting the Microsoft Dynamics Sure Step methodology as your own

Key Features Your quick guide to implementing TensorFlow in your day-to-day machine learning activities Learn advanced techniques that bring more accuracy and speed to machine learning Upgrade your knowledge to the second generation of machine learning with this guide on TensorFlow Book Description TensorFlow is an open source software library for Machine Intelligence. The independent recipes in this book will teach you how to use TensorFlow for complex data computations and will let you dig deeper and gain more insights into your data than ever before. You'll work through recipes on training models, model evaluation, sentiment analysis, regression analysis, clustering analysis, artificial neural networks, and deep learning – each using Google's machine learning library TensorFlow. This guide starts with the fundamentals of the TensorFlow library which includes variables, matrices, and various data sources. Moving ahead, you will get hands-on experience with Linear Regression techniques with TensorFlow. The next chapters cover important high-level concepts such as neural networks, CNN, RNN, and NLP. Once you are familiar and comfortable with the TensorFlow ecosystem, the last chapter will show you how to take it to production. What you will learn Become familiar with the basics of the TensorFlow machine learning library Get to know Linear Regression techniques with TensorFlow Learn SVMs with hands-on recipes Implement neural networks and improve predictions Apply NLP and sentiment analysis to your data Master CNN and RNN through practical recipes Take TensorFlow into production About the Author Nick McClure is currently a senior data scientist at PayScale, Inc. in Seattle, WA. Prior to this, he has worked at Zillow and Caesar's Entertainment. He got his degrees in Applied Mathematics from The University of Montana and the College of Saint Benedict and Saint John's University. He has a passion for learning and advocating for analytics, machine learning, and artif

Successfully scrape data from any website with the power of Python About This Book A hands-on guide to web scraping with real-life problems and solutions Techniques to download and extract data from complex websites Create a number of different web scrapers to extract information

This book will give you details about how to manage and administer your Apache Kafka Cluster. We will cover topics like how to configure your broker, producer, and consumer for maximum efficiency for your situation. Also, you will learn how to maintain and administer your cluster for fault tolerance. We will also explore tools provided with Apache Kafka to do regular maintenance operations. We shall also look at how to easily integrate Apache Kafka with big data tools like Hadoop, Apache Spark, Apache Storm, and Elasticsearch.

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